Gender identity and activity limitations: A national study on transgender and non-binary Canadians.

Introduction: Activity limitations among transgender and non-binary individuals remain largely unexplored using population-based samples. This study examines the risk of activity limitations across different gender identities in Canada.

Method: Using data from the 2021 Canadian long-form Census, logistic regressions estimated the adjusted odds of reporting activity limitations (seeing, hearing, mobility/dexterity, mental, cognitive, and other) across gender identities.

New technologies for future of surgery in Ireland: An RCSI working Group report 2024.

Introduction: Surgery is a cognitive discipline whose practitioners characteristically use technology during operations for patients. With accelerating technological innovation throughout society and healthcare, we sought to develop a shared position for Irish surgery via a commissioned work programme by the Royal College of Surgeons in Ireland.

Methods: Using Stanford design principles, representative clinical specialty and academic leads and higher trainee representatives across 15 specialties were surveyed regarding sentiments, perspectives and concerns regarding now and near future technology in clinical practice, career considerations and training/education.

BSDR: A Data-Efficient Deep Learning-Based Hyperspectral Band Selection Algorithm Using Discrete Relaxation.

Hyperspectral band selection algorithms are crucial for processing high-dimensional data, which enables dimensionality reduction, improves data analysis, and enhances computational efficiency. Among these, attention-based algorithms have gained prominence by ranking bands based on their discriminative capability. However, they require a large number of model parameters, which increases the need for extensive training data.